Triple

T24437676
Position Surface form Disambiguated ID Type / Status
Subject Thurn und Taxis family E616168 entity
Predicate notableMember P10 FINISHED
Object Maximilian Karl von Thurn und Taxis
Maximilian Karl von Thurn und Taxis was a 19th-century German prince and head of the Thurn und Taxis family, known for their historic role in European postal services and aristocratic society.
E1652180 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maximilian Karl von Thurn und Taxis | Statement: [Thurn und Taxis family, notableMember, Maximilian Karl von Thurn und Taxis]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maximilian Karl von Thurn und Taxis
Triple: [Thurn und Taxis family, notableMember, Maximilian Karl von Thurn und Taxis]
Generated description
Maximilian Karl von Thurn und Taxis was a 19th-century German prince and head of the Thurn und Taxis family, known for their historic role in European postal services and aristocratic society.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2d7ec44b081909ccaf1f3bbec0641 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f297881fa08190b82bdc5ebeae96f7 completed April 29, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a101bdabe88819085ae568210802f84 completed May 22, 2026, 9:03 a.m.
NEDg Description generation batch_6a10273b405c8190b9a68a74c92b9e7b completed May 22, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a1027f5bdd4819081cf55a1ad77b4ab completed May 22, 2026, 9:55 a.m.
Created at: April 18, 2026, 2:16 a.m.